Malvern, PA

Data Jobs in Malvern, PA

3 jobs found

Include remote jobs

Today

GENAI / MACHINE LEARNING AI / DATA Scientist

Hudson Manpower Malvern, PA 🇺🇸 Remote

Malvern, PA

Today

Full time AI Ai Ml Amazon Bedrock

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Job Description

Hudson Manpower seeks a GenAI Engineer / ML AI / Data Scientist for a remote-capable role based in Malvern, PA. The position requires 10 or more years of hands-on experience in artificial intelligence, deep learning, and data science.

Requirements

Remote work: 100% remote
Eligibility: No H1B candidates; rest may apply
Employment type: Only W2 candidates
Experience: 10+ years
AI/ML knowledge: Strong foundation in AI, deep learning, and machine learning principles
Programming: Expertise in Python and tools such as Hugging Face, Langchain, and the OpenAI API
Deep learning frameworks: Experience with TensorFlow, Keras, and PyTorch
Cloud platforms: Familiar with Google Model Garden, Amazon Bedrock, and Nvidia Nim
Multi-modal data and AI tools: Experience with multi-modal data and intelligent agent-based tools
Mindset: Self-motivated, collaborative, and innovative, with a passion for solving hard problems using AI and GenAI

Technologies

Python
Hugging Face
Langchain
OpenAI API
TensorFlow
Keras
PyTorch
Google Model Garden
Amazon Bedrock
Nvidia Nim

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7d ago

Senior Data Scientist - Advanced GenAI & Agentic Systems

Tiger Analytics Inc. Malvern, PA

Malvern, PA

7d ago

Full time Senior Agentic Ai Ai Ml

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Job Description

Tiger Analytics Inc. offers significant career development opportunities as the company grows. Join a small, fast-growing, challenging and entrepreneurial environment that emphasizes individual responsibility. This onsite role in Malvern, PA is for a Senior Data Scientist specializing in GenAI and agentic systems to design, develop, and deploy state-of-the-art Generative AI and multi-agent solutions for Investment, Banking, and Financial Services clients, including asset management, wealth management, and contact center operations.

Benefits

Significant career development opportunities exist as the company grows
Opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment with a high degree of individual responsibility

Responsibilities

Apply the latest data science techniques to address business problems
Collaborate directly with client stakeholders to translate business problems into high-level analytics designs
Design, build, and deploy advanced retrieval augmented generation pipelines using semantic chunking, hybrid search with dense plus BM25, and cross-encoder re-ranking models
Develop autonomous multi-agent workflows with ReAct loops, native tool calls, complex state management, and deterministic circuit breakers
Develop parameter-efficient fine-tuning and alignment methods for large language models (PEFT, LoRA, QLoRA, RLHF, DPO)
Translate complex enterprise challenges into scalable AI architectures and technical prototypes
Explain architectural trade-offs and system designs to senior client stakeholders, including RoPE vs ALiBi, MoE routing, and Pre/Post-LN considerations
Lead deep-dive workshops on LLM evaluation and system safety, covering RAG Triad, LLM as a Judge, guardrails, and prompt injection defense
Implement AI models with hands-on coding, knowing when to bypass heavy framework abstractions (for example LangChain or LlamaIndex as needed)
Conduct large-scale data extraction, transformation, and analysis using expert-level SQL and Python
Partner with asset management, wealth management, and banking teams to translate operational requirements into AI architecture designs
Present insights and architectures to senior stakeholders and help drive AI strategy discussions

Requirements

8 to 10 years of professional work experience with at least 5 years in Data Science
Proficiency in Python and SQL
8 to 12 years of hands-on experience in applied Data Science, Machine Learning, and Artificial Intelligence
Strong domain experience in Banking & Financial Services, specifically Asset and Wealth Management; backgrounds in Insurance or Contact Center AI/Analytics are highly considered
Deep theoretical and practical knowledge of NLP foundations, Transformer architectures (Multi-Head Self-Attention, Positional Encodings), and vector space mathematics
Proven hands-on experience building and deploying Agentic AI solutions and managing complex agent state across directional graphs
Expert-level proficiency in Python and SQL; this is a purely hands-on, Individual Contributor role requiring heavy daily coding
Experience configuring and optimizing Vector Databases (e.g., HNSW, IVFFlat indexing)
Location: US-based, Malvern, PA or Dallas, TX preferred

Technologies

Python
SQL
LangChain
LlamaIndex
ReAct loops
RAG pipelines
BM25
Cross-encoder re-ranking models
PEFT
LoRA
QLoRA
RLHF
DPO
RoPE
ALiBi
MoE routing
Pre-LN
Post-LN
HNSW
IVFFlat

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2mo ago

Data Engineer I

Cenero LLC Malvern, PA

Malvern, PA

2mo ago Closed

$85k - $116k/yr Full time Data Data Engineer Engineer

This position is no longer accepting applications (closed Jun 10, 2026).

Job Description

An on-site Data Engineer I role based in Malvern, PA, partnering with IT and Software Development teams to administer, maintain, optimize, analyze, and architect both Cenero-developed and Cenero-supported applications and systems. The position blends database administration, data engineering, analytics, and data science to keep data reliable, secure, and ready for business use.

Responsibilities

Create and sustain scalable ETL and ELT pipelines to ingest, process, and store data efficiently.
Develop and optimize data storage architectures, including data warehouses and data lakes, for structured and unstructured data.
Apply best practices for data modeling, storage, indexing, and retrieval.
Collaborate with software engineers to embed data solutions into applications, APIs, and services.
Automate data workflows, establish monitoring, and implement alerting to preserve data integrity and performance.
Manage and optimize SQL and NoSQL databases to support operations and analytics.
Ensure data security, compliance, and access control across all data assets.
Monitor database performance and tune queries for speed and efficiency.
Work with analysts and stakeholders to define data requirements and ensure accessibility.
Create and enhance Power BI reports for KPIs and executive-level storytelling.
Develop and refine standardized metric definitions and dashboard UX standards, including layout, interactions, patterns, and drill paths.
Oversee Fabric/Power BI workspace deployment, release management, versioning, usage monitoring, and refresh SLAs.
Support predictive analytics and ML workflows by providing clean, well-structured data.
Conduct exploratory data analysis to uncover trends, patterns, and insights.
Define and maintain data governance policies to ensure consistency and quality.
Contribute to the evolution of a modern data stack by evaluating new tools and technologies.
Design, document, diagram, and implement scalable, high-performance data architectures aligned with business needs.
Administer database connection strings and administrative access.
Adapt to switching between tools as required by business needs, including transitions from SQL to MongoDB or adopting new Azure or GCP tools.

Requirements

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
Master’s degree is a plus.
3+ years of experience in data engineering, database administration, or related roles.
Strong proficiency with SQL, SSIS, PowerShell, Python, and data modeling.
Experience administering and troubleshooting SQL Server and MySQL databases.
Hands-on work with ETL/ELT tools such as Azure Data Factory, SSIS, Azure Synapse, Azure Stream, DBT, Apache Airflow, Apache Talend, among others.
Practical experience with cloud platforms (AWS, Azure, GCP) and their data services.
Experience with business intelligence tools (Power BI, Tableau, Zoho); Power BI and DAX are preferred.
Familiarity with database analysis tools such as SolarWinds.
Knowledge of big data technologies (Spark, Hadoop, Snowflake, Redshift, BigQuery).
Understanding of data governance, security, and compliance best practices.
Some experience with version control systems such as Git.
Some exposure to machine learning workflows and MLOps concepts is preferred.
Certifications in AWS, Azure, CompTIA or GCP are preferred.

Technologies

SQL, SSIS, PowerShell, Python
SQL Server, MySQL
Azure Data Factory, Azure Synapse, Azure Stream
DBT, Apache Airflow, Apache Talend
AWS, Azure, GCP
Power BI, Tableau, Zoho
SolarWinds
Spark, Hadoop, Snowflake, Redshift, BigQuery
MongoDB, Git
Fabric, DAX

Benefits

Industry-leading healthcare coverage begins on day one, including medical, dental, vision, and prescription benefits
Savings and 401K with company match
Health Savings Account (HSA
Flexible Spending Account (FSA)
Dependent Care Spending Account (DCA)
100% company-paid life insurance
100% company-paid short-term disability, with optional long-term disability
Paid Time Off awarded at hire
On-site gym facilities and related amenities
Giving Programs and Employee Tuition Reimbursement
Networking opportunities and an attractive Employee Referral program
Complimentary coffee and weekly treats in Malvern

Other Skills

Strong problem-solving abilities and meticulous attention to detail
Capability to document and visually diagram solutions
Effective communication and collaboration across organizational levels
Proven track record in contributing to or leading operational initiatives
Independence in work, with the ability to compile quantitative data for review
Proficiency with Microsoft Office Suite and related tools

Compensation Transparency

The salary range for this role in Malvern, PA is from $85,250 to $115,750 per year.
The final offer will be within or near this range based on experience and qualifications.
Pay is determined by factors including work experience, location, skills, education, certifications, and trainings completed.
Health and wellness benefits commence on Day 1 of employment with no mandatory waiting period.

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Data Jobs in Malvern, PA

GENAI / MACHINE LEARNING AI / DATA Scientist

Senior Data Scientist - Advanced GenAI & Agentic Systems

Data Engineer I

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